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eemdTDNN  

EEMD and Its Variant Based Time Delay Neural Network Model
View on CRAN: Click here


Download and install eemdTDNN package within the R console
Install from CRAN:
install.packages("eemdTDNN")

Install from Github:
library("remotes")
install_github("cran/eemdTDNN")

Install by package version:
library("remotes")
install_version("eemdTDNN", "0.1.0")



Attach the package and use:
library("eemdTDNN")
Maintained by
Kapil Choudhary
[Scholar Profile | Author Map]
First Published: 2021-01-19
Latest Update: 2021-01-19
Description:
Forecasting univariate time series with different decomposition based time delay neural network models. For method details see Yu L, Wang S, Lai KK (2008). .
How to cite:
Kapil Choudhary (2021). eemdTDNN: EEMD and Its Variant Based Time Delay Neural Network Model. R package version 0.1.0, https://cran.r-project.org/web/packages/eemdTDNN. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that eemdTDNN depends, imports, suggests or enhances
Complete documentation for eemdTDNN
Functions, R codes and Examples using the eemdTDNN R package
Some associated functions: Data_Maize . EEMDTDNN . ceemdanTDNN . emdTDNN . 
Some associated R codes: EEMDTDNN.R . ceemdanTDNN.R . emdTDNN.R .  Full eemdTDNN package functions and examples
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